Cookies?
Library Header Image
LSE Research Online LSE Library Services

Climate risk and corporate rescues

Gozlugol, Alperen (2023) Climate risk and corporate rescues. European Business Organization Law Review. ISSN 1566-7529 (In Press)

[img] Text (Climate risk and corporate rescues) - Accepted Version
Pending embargo until 1 January 2100.

Download (1MB)

Abstract

Climate risk poses a significant risk for economic actors across the world. Given the (systemic) nature of this risk, governments stand ready to rescue or extend relief to distressed firms in various ways. As in the case of the Covid-19 pandemic, widespread governmental rescues or targeted interventions in firms deemed ‘too important to fail’ are a real possibility in the case of climate-change-related impacts. While such interventions might be ex-post efficient or rather politically driven, they do not prevent deadweight losses and might create moral hazard in the sense that firms ex-ante do not identify and/or address the climate risks they face. This ultimately means that climate change adaptation – a policy goal whose importance increases as climate change remains unmitigated – will not reach socially optimal levels. A better strategy involves adaptation policies where the relevant framework guides, incentivizes and pushes firms to build resilience against climate risks. Stress testing coupled with proactive adaptation measures that respond to revealed vulnerabilities appears to be the best option among various risk management strategies. In cases where governmental relief remains inevitable, there is a further need to ensure that it is fair and efficient.

Item Type: Article
Official URL: https://link.springer.com/journal/40804
Additional Information: © 2024 Springer
Divisions: Law
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
K Law
Date Deposited: 10 Jan 2024 16:54
Last Modified: 05 Nov 2024 15:57
URI: http://eprints.lse.ac.uk/id/eprint/121269

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics